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ANOMALY DETECTION MODEL SELECTION AND VALIDITY FOR TIME SERIES DATA
ANOMALY DETECTION MODEL SELECTION AND VALIDITY FOR TIME SERIES DATA
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机译:时间序列数据异常检测模型的选择与有效性
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摘要
Deploying a model for anomaly detection in time series data. A period of data is received. A model of the period of data is received. It is determined that the model fits a part of the period of data and that the fitted part of the period of data includes the most recent data. A reduced model for the part of the period of data that fit the received model is built. The reduced model is deployed.
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